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Customer churn prediction in the telecommunications industry using call detail records and machine learning – Complete Phd and Masters Thesis

Customer churn prediction in the telecommunications industry using call detail records and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In the telecommunications industry, customer churn prediction plays a crucial role in retaining customers and maximizing revenue. The ability to accurately predict when a customer is likely to churn can help telecom companies…

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Anomaly detection in industrial control systems using SCADA data and unsupervised learning – Complete Phd and Masters Thesis

Anomaly detection in industrial control systems using SCADA data and unsupervised learning – Complete Phd and Masters Thesis

[ad_1] Introduction: Anomaly detection plays a critical role in ensuring the security and reliability of industrial control systems (ICS), particularly in the context of Supervisory Control and Data Acquisition (SCADA) systems. SCADA systems are widely…

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Recommender systems for online education using student performance data and course content – Complete Phd and Masters Thesis

Recommender systems for online education using student performance data and course content – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, online education has become increasingly popular, offering students flexibility and convenience in pursuing their academic goals. However, with the vast amount of online courses available, students often struggle to find…

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Sentiment analysis of customer reviews for brand reputation management using text mining and machine learning – Complete Phd and Masters Thesis

Sentiment analysis of customer reviews for brand reputation management using text mining and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, customer reviews play a crucial role in shaping brand reputation. Consumers often base their purchasing decisions on the opinions and experiences shared by others online. As such, businesses must…

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Demand forecasting for inventory optimization in the automotive industry using time series analysis and sales data – Complete Phd and Masters Thesis

Demand forecasting for inventory optimization in the automotive industry using time series analysis and sales data – Complete Phd and Masters Thesis

[ad_1] Introduction In the highly competitive automotive industry, companies are constantly looking for ways to optimize their inventory management to meet customer demand while minimizing excess inventory and holding costs. Demand forecasting plays a crucial…

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Fake news detection for political campaigns using natural language processing – Complete Phd and Masters Thesis

Fake news detection for political campaigns using natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction: The proliferation of fake news has become a significant issue in today’s society, particularly in the context of political campaigns. With the rise of social media and online platforms, it has become easier…

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Predicting customer satisfaction for ride-hailing services using trip data and machine learning – Complete Phd and Masters Thesis

Predicting customer satisfaction for ride-hailing services using trip data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction With the rise of ride-hailing services such as Uber and Lyft, there has been an increasing interest in understanding and predicting customer satisfaction in this rapidly growing industry. Customer satisfaction is a crucial…

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Facial recognition for attendance tracking in schools using computer vision and student databases – Complete Phd and Masters Thesis

Facial recognition for attendance tracking in schools using computer vision and student databases – Complete Phd and Masters Thesis

[ad_1] Introduction Facial recognition technology has gained significant traction in recent years, with its applications ranging from security systems to social media tagging. In the educational sector, facial recognition has the potential to improve efficiency…

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Sentiment analysis of customer feedback for service quality improvement using text mining and natural language processing – Complete Phd and Masters Thesis

Sentiment analysis of customer feedback for service quality improvement using text mining and natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction Customer feedback is an invaluable source of information for businesses seeking to improve their service quality. As the digital age continues to evolve, the volume of customer feedback available online has increased significantly.…

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Predictive maintenance for manufacturing equipment using sensor data and machine learning – Complete Phd and Masters Thesis

Predictive maintenance for manufacturing equipment using sensor data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction: Predictive maintenance is a proactive approach to maintenance that aims to predict when equipment failure is likely to occur, allowing for maintenance to be performed just in time to avoid downtime and costly…

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